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@article{175127,
        author = {Roshan Madhukar Pawar and Vandana Shirsath and Samruddhi Shahane and Ishita Chikhalikar},
        title = {A Review article on Impact of Artificial Intelligence (AI) in Pharmaceutical Development and Manufacturing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2365-2375},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175127},
        abstract = {Artificial Intelligence (AI) has become an indispensable technology in transforming pharmaceutical research, development, and manufacturing. AI-driven tools are revolutionizing the drug discovery process by enabling rapid identification of drug candidates, predicting molecular behavior, and optimizing clinical trials. In manufacturing, AI enhances process control, quality assurance, and supply chain efficiency. However, challenges such as data privacy, ethical concerns, and the need for skilled professionals must be addressed. This review provides an in-depth analysis of AI’s applications, benefits, and challenges, highlighting its transformative role in modern pharmaceuticals and the road ahead.},
        keywords = {Artificial Intelligence (AI), Pharmaceutical Development, Drug Discovery, Clinical Trials, Formulation Development, Pharmaceutical Manufacturing, Generative Adversarial Networks (GANs), Federated Learning, Predictive Modeling, Personalized Medicine, Blockchain in Pharmaceuticals, Internet of Things (IoT), Machine Learning, Deep Learning, Target Identification, Virtual Screening, Drug Repurposing, Real-Time Monitoring, Process Optimization, Robotics and Automation, Predictive Maintenance, Data Security, Regulatory Frameworks, Industry-Academia Partnerships, Pharmaceutical Innovation, Cost Reduction in Drug Development, Advanced AI Technologies, Pharmacogenomics, Precision Medicine, AI-Driven Quality Control},
        month = {April},
        }